Building method and device of non-relational database index

Abstract

The invention provides a building method and device of a non-relational database index. The method comprises the steps of obtaining business data to be processed, and reading an attribute field configuration table, wherein the attribute field configuration table comprises a business field of an index building dimensionality which is set beforehand by an index operating demand of business data; determining a main business field in which indexes need to be built in the business data according to the attribute field configuration table; building the non-relational database index in which the main business field is regarded as an index keyword according to the main business field and field characteristic data correlated with the main business field. Through the adoption of the building method and device of the non-relational database index, building of the index can be achieved based on wide tables of a non-relational database, the business index of itself can be built according to a business scene, the consistency of the data and the index can be guaranteed, the non-relational database index which is better matched with the business scene can be flexibly, quickly, and conveniently built, and thus the index building efficiency is improved.

Description

technical field [0001] The application belongs to the technical field of computer data processing, and in particular relates to a method and device for establishing a non-relational database index. Background technique [0002] With the rapid development of computer and Internet technology, the number of businesses in many industries that rely on the Internet shows a trend of large data volume and rapid growth. The advent of the era of big data poses new challenges to the storage of business data. [0003] At present, conventional business data storage is still mainly based on the relational database based on the relational model, and the data in the database is processed by means of mathematical concepts and methods such as set algebra. For example, the current mainstream relational databases include Oracle, DB2, PostgreSQL, Microsoft SQL Server, Microsoft Access, and MySQL. In the environment of a large amount of business data, relational databases can no longer meet the...

AI Technical Summary

Problems solved by technology

[0005] However, in the existing way of using search engines to create indexes, the index construction time is delayed, and the constructed indexes also occupy a large storage space. For some business data index operations with few business search dimensions, use search engine tools to build indexes The relatively long construction time is relatively long, the process is complicated, and the overall stability of the construction is also poor due to the small number of search dimensions, and the overall use efficiency and effect are low

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